{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "40fab16e-ec5f-42f4-aaac-52544e89e6c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import xarray as xr\n",
    "import zarr\n",
    "import gcsfs\n",
    "\n",
    "from matplotlib import pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "69cf94f8-581b-4413-9777-be7b0ff47520",
   "metadata": {},
   "outputs": [],
   "source": [
    "gcs = gcsfs.GCSFileSystem()\n",
    "\n",
    "def read_dcenti_google_cloud(en):\n",
    "    \"\"\"\n",
    "    if en is 0:  read ensemble mean\n",
    "    if en is 1-200: read individual members\n",
    "    if en is -1: read climatology\n",
    "    \"\"\"\n",
    "    remote = 'gs://dcenti_dynamically_consistent_ensemble_of_temperature_infilled/'\n",
    "    \n",
    "    if en == 0:\n",
    "        store_value  = remote + 'DCENT_I_1.0.0.0_mean_spread.zarr/'\n",
    "    elif en == -1:\n",
    "        store_value  = remote + 'DCENT_I_1.0.0.0_clim_1982_2014.zarr/'\n",
    "    else:\n",
    "        store_value0 = remote + 'DCENT_I_1.0.0.0_ensemble_zarr/DCENT_I_1.0.0.0_member_{:03d}.zarr/'\n",
    "        store_value  = store_value0.format(en)\n",
    "            \n",
    "    mapper = gcs.get_mapper(store_value)\n",
    "    ds = xr.open_zarr(mapper, consolidated=True)\n",
    "\n",
    "    return ds\n",
    "\n",
    "# ------------------------------\n",
    "def calculate_global_mean_temperature(temperature_data):\n",
    "    \n",
    "    latitudes = np.arange(-87.5, 90, 5)\n",
    "    weights = np.cos(np.radians(latitudes))\n",
    "    weights_2d = np.tile(weights[:, np.newaxis], (1, 72))\n",
    "    masked_temperature_data = np.where(np.isnan(temperature_data), 0, temperature_data)\n",
    "    masked_weights_2d = np.where(np.isnan(temperature_data), 0, weights_2d)\n",
    "    weighted_sum = np.sum(masked_temperature_data * masked_weights_2d)\n",
    "    total_weight = np.sum(masked_weights_2d)\n",
    "    global_mean_temperature = weighted_sum / total_weight\n",
    "    \n",
    "    return global_mean_temperature"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "b998bf1d-81ed-465b-b8bf-6e3d004d5146",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ------------------------ Let's start from the ensemble mean ------------------------\n",
    "en = 0 \n",
    "yr_end = 2024\n",
    "ds = read_dcenti_google_cloud(en)                                      # Read data\n",
    "temperature = ds.ts_mean.values                                        # Subset temperature\n",
    "\n",
    "GL = np.zeros((temperature.shape[0],1))\n",
    "for ct in np.arange(temperature.shape[0]):\n",
    "    GL[ct] = calculate_global_mean_temperature(temperature[ct,:,:])    # Calculate global mean while weighting grids by cosine of latitude\n",
    "\n",
    "GL_ann = GL.reshape(int(temperature.shape[0]/12),12).mean(axis = 1)    # Calculate annual mean of monthly mean\n",
    "plt.plot(np.arange(1850,yr_end+1),GL_ann);                                 # Plot calculate time series\n",
    "plt.grid('on')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "2b813d73-639c-47ce-8d71-edd3edf8500c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ------------------------ Let's now move on to an ensemble member ------------------------\n",
    "en = 1                                                                 # 1 - 200\n",
    "ds = read_dcenti_google_cloud(en)                                       # Read data\n",
    "temperature = ds.ts.values                                             # Subset temperature\n",
    "\n",
    "GL = np.zeros((temperature.shape[0],1))\n",
    "for ct in np.arange(temperature.shape[0]):\n",
    "    GL[ct] = calculate_global_mean_temperature(temperature[ct,:,:])    # Calculate global mean while weighting grids by cosine of latitude\n",
    "\n",
    "GL_ann = GL.reshape(int(temperature.shape[0]/12),12).mean(axis = 1)    # Calculate annual mean of monthly mean\n",
    "plt.plot(np.arange(1850,yr_end+1),GL_ann);                                 # Plot calculate time series\n",
    "plt.grid('on')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "957b2b26-db06-4f92-93b4-ee00f39bf5cd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# ------------------------ Finally, let's explore the climatology ------------------------\n",
    "en = -1                                                                \n",
    "ds = read_dcenti_google_cloud(en)                                       # Read data\n",
    "temperature = ds.temperature_clim.values                               # Subset temperature\n",
    "\n",
    "GL = np.zeros((temperature.shape[0],1))\n",
    "for ct in np.arange(temperature.shape[0]):\n",
    "    GL[ct] = calculate_global_mean_temperature(temperature[ct,:,:])    # Calculate global mean while weighting grids by cosine of latitude\n",
    "\n",
    "plt.plot(np.arange(1,13),GL);                                          # Plot calculate time series\n",
    "plt.grid('on')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5d909e79-bbfc-40ba-95af-742dc5746901",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python (nc_to_zarr)",
   "language": "python",
   "name": "netcdf_to_zarr"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.18"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
